{"id":"https://openalex.org/W2307954101","doi":"https://doi.org/10.3233/his-160217","title":"Class imbalance problem using a hybrid ensemble approach","display_name":"Class imbalance problem using a hybrid ensemble approach","publication_year":2016,"publication_date":"2016-03-11","ids":{"openalex":"https://openalex.org/W2307954101","doi":"https://doi.org/10.3233/his-160217","mag":"2307954101"},"language":"en","primary_location":{"id":"doi:10.3233/his-160217","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-160217","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073451972","display_name":"Shaza M. Abd Elrahman","orcid":null},"institutions":[{"id":"https://openalex.org/I9353105","display_name":"Sudan University of Science and Technology","ror":"https://ror.org/02fwtg066","country_code":"SD","type":"education","lineage":["https://openalex.org/I9353105"]}],"countries":["SD"],"is_corresponding":false,"raw_author_name":"Shaza M. Abd Elrahman","raw_affiliation_strings":["Faculty of Computer Science & Information Technology, Sudan University of Science Technology, Khartoum, Sudan"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science & Information Technology, Sudan University of Science Technology, Khartoum, Sudan","institution_ids":["https://openalex.org/I9353105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738"},"institutions":[{"id":"https://openalex.org/I4210107658","display_name":"Machine Intelligence Research Labs","ror":"https://ror.org/013kgb629","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210107658"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence, Auburn, WA, USA"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence, Auburn, WA, USA","institution_ids":["https://openalex.org/I4210107658"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087542455"],"corresponding_institution_ids":["https://openalex.org/I4210107658"],"apc_list":null,"apc_paid":null,"fwci":1.2854,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86250565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"4","first_page":"219","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9158999919891357,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7995365858078003},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6583132147789001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41609811782836914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33474212884902954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7995365858078003},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6583132147789001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41609811782836914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33474212884902954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-160217","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-160217","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1590481709","https://openalex.org/W1976790167","https://openalex.org/W1983521670","https://openalex.org/W1984323748","https://openalex.org/W2012035409","https://openalex.org/W2037368361","https://openalex.org/W2040010062","https://openalex.org/W2056614917","https://openalex.org/W2067594023","https://openalex.org/W2096945460","https://openalex.org/W2099454382","https://openalex.org/W2104167780","https://openalex.org/W2131678521","https://openalex.org/W2134729371","https://openalex.org/W2139207995","https://openalex.org/W2148143831","https://openalex.org/W2154103141","https://openalex.org/W2157742131","https://openalex.org/W2189507446","https://openalex.org/W2314685561","https://openalex.org/W2595818160","https://openalex.org/W4285719527","https://openalex.org/W6601952018","https://openalex.org/W6687257076","https://openalex.org/W6735168457"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30],"comparative":[4],"study":[5],"that":[6,34],"investigates":[7],"the":[8,60],"effects":[9],"of":[10,53],"using":[11],"resampling":[12,37],"(undersampling":[13],"and":[14,22,42,47],"oversampling)":[15],"methods":[16,20],"with":[17],"homogenous":[18],"ensemble":[19,32],"Bagging":[21],"AdaBoost":[23],"in":[24],"imbalanced":[25,67],"data":[26,69],"sets.":[27,70],"We":[28],"presented":[29],"hybrid":[31],"approach":[33,57],"combined":[35],"multi":[36],"by":[38,51],"integrating":[39],"both":[40],"undersampling":[41],"oversampling":[43],"to":[44,66],"get":[45],"benefits":[46],"reduces":[48],"drawbacks":[49],"caused":[50],"each":[52],"them.":[54],"The":[55],"proposed":[56],"has":[58],"improved":[59],"performance":[61],"even":[62],"those":[63],"most":[64],"sensitive":[65],"class":[68]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-01-15T23:16:33.117629","created_date":"2025-10-10T00:00:00"}
